Shi-Zhu Bian1, Jun Jin2, Jun-Qing Dong3, Qian-Ning Li4, Jie Yu5, Cai-Fa Tang6, Shi-Yong Yu7, Xiao-Hui Zhao8, Jun Qin9, Lan Huang10. 1. Institute of Cardiovascular Diseases of PLA, Xinqiao Hospital, Third Military Medical University, China; Department of Cardiology, Xinqiao Hospital, Third Military Medical University, China. Electronic address: bianshizhu@163.com. 2. Institute of Cardiovascular Diseases of PLA, Xinqiao Hospital, Third Military Medical University, China; Department of Cardiology, Xinqiao Hospital, Third Military Medical University, China. Electronic address: jjxqyy@163.com. 3. Institute of Cardiovascular Diseases of PLA, Xinqiao Hospital, Third Military Medical University, China; Department of Cardiology, Xinqiao Hospital, Third Military Medical University, China. Electronic address: 1044836428@qq.com. 4. Department of Neurology, Xinqiao Hospital, Third Military Medical University, China. Electronic address: LLQQNN@hotmail.com. 5. Institute of Cardiovascular Diseases of PLA, Xinqiao Hospital, Third Military Medical University, China; Department of Cardiology, Xinqiao Hospital, Third Military Medical University, China. Electronic address: simpls@163.com. 6. Department of Neurology, Xinqiao Hospital, Third Military Medical University, China. Electronic address: tangcaifaxinqiao@163.com. 7. Institute of Cardiovascular Diseases of PLA, Xinqiao Hospital, Third Military Medical University, China; Department of Cardiology, Xinqiao Hospital, Third Military Medical University, China. Electronic address: doctoryushiyong@126.com. 8. Institute of Cardiovascular Diseases of PLA, Xinqiao Hospital, Third Military Medical University, China; Department of Cardiology, Xinqiao Hospital, Third Military Medical University, China. Electronic address: zxhwn@tmmu.edu.cn. 9. Institute of Cardiovascular Diseases of PLA, Xinqiao Hospital, Third Military Medical University, China; Department of Cardiology, Xinqiao Hospital, Third Military Medical University, China. Electronic address: qinjunxq@126.com. 10. Institute of Cardiovascular Diseases of PLA, Xinqiao Hospital, Third Military Medical University, China; Department of Cardiology, Xinqiao Hospital, Third Military Medical University, China. Electronic address: huanglan260@126.com.
Abstract
OBJECTIVE: The current study aimed to identify the predictive values of psychological factors that are evaluated by the Symptoms Checklist-90 (SCL-90) for acute mountain sickness (AMS). METHODS: The subjects (n=285, non-acclimatized young Chinese men), who were recruited in July 2013, completed a case report questionnaire. In addition, their vital signs (heart rate [HR], blood pressure and pulse oxygen saturation) were measured, and their psychological factors were examined using the SCL-90 at sea level. AMS was diagnosed using the Lake Louise self-assessment scoring system in the morning of the second day after their arrival at 3450m. RESULTS: Of the nine factors of the SCL-90, the AMS patients (AMS score≥3) were characterized by significantly higher scores for baseline somatization [14.0 (5.0) vs. 13.0 (3.0), p<0.001], obsession-compulsion, depression, anxiety and hostility compared with the non-AMS group (all p values<0.05). Spearman's correlation analyses revealed associations between AMS scores and somatization (r=0.316, p<0.001), depression, anxiety, obsession-compulsion, interpersonal sensitivity, hostility, phobic anxiety, paranoid ideation and psychoticism scores (all p values<0.001). Although all nine factors were associated with AMS in a univariate regression (all p<0.05), a further adjusted logistic regression analysis indicated that only baseline somatization score (odds ratio=1.129, p=0.001) was an independent predictor of AMS. Furthermore, some non-AMS often-occurred symptoms (paresthesia, shortness of breath, reduced activity and tinnitus) were also found to be associated with the baseline SCL-90 scores. CONCLUSION: AMS is correlated with the baseline somatization score at sea level, which was measured using the SCL-90. A higher baseline somatization score is also an independent predictor of AMS.
OBJECTIVE: The current study aimed to identify the predictive values of psychological factors that are evaluated by the Symptoms Checklist-90 (SCL-90) for acute mountain sickness (AMS). METHODS: The subjects (n=285, non-acclimatized young Chinese men), who were recruited in July 2013, completed a case report questionnaire. In addition, their vital signs (heart rate [HR], blood pressure and pulse oxygen saturation) were measured, and their psychological factors were examined using the SCL-90 at sea level. AMS was diagnosed using the Lake Louise self-assessment scoring system in the morning of the second day after their arrival at 3450m. RESULTS: Of the nine factors of the SCL-90, the AMSpatients (AMS score≥3) were characterized by significantly higher scores for baseline somatization [14.0 (5.0) vs. 13.0 (3.0), p<0.001], obsession-compulsion, depression, anxiety and hostility compared with the non-AMS group (all p values<0.05). Spearman's correlation analyses revealed associations between AMS scores and somatization (r=0.316, p<0.001), depression, anxiety, obsession-compulsion, interpersonal sensitivity, hostility, phobic anxiety, paranoid ideation and psychoticism scores (all p values<0.001). Although all nine factors were associated with AMS in a univariate regression (all p<0.05), a further adjusted logistic regression analysis indicated that only baseline somatization score (odds ratio=1.129, p=0.001) was an independent predictor of AMS. Furthermore, some non-AMS often-occurred symptoms (paresthesia, shortness of breath, reduced activity and tinnitus) were also found to be associated with the baseline SCL-90 scores. CONCLUSION:AMS is correlated with the baseline somatization score at sea level, which was measured using the SCL-90. A higher baseline somatization score is also an independent predictor of AMS.
Authors: Christopher J Boos; Malcolm Bass; John P O'Hara; Emma Vincent; Adrian Mellor; Luke Sevier; Humayra Abdul-Razakq; Mark Cooke; Matt Barlow; David R Woods Journal: PLoS One Date: 2018-06-21 Impact factor: 3.240